Sr. Deployment Strategist, FDE - Public Sector

As a Sr. Deployment Strategist, FDE - Public Sector, you will be part of the founding team of Databricks' Forward Deployed Engineering (FDE) initiative, working closely with strategic customers to deliver high-value AI solutions.

You will serve as a critical bridge between the customer's business problems and Databricks' technical solutions, owning the technical and product direction of the engagement from initial discovery to production launch and adoption.

Key responsibilities include:

• C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organisation, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline.
• End-to-End Product Ownership: Author the PRD, prioritise the engineering backlog, manage scope, and act as the primary hands-on QA tester.
• Technical Solution Leadership & Delivery: Drive the FDE build team through an agile delivery process, manage stakeholders from the C-suite to individual engineers, and unblock technical or organisational issues.
• Solution Launch & Landing: Own the "Day 0" launch, manage the war room, and drive the solution from launch to full adoption by capturing user feedback, iterating, and proving the defined business value.
• Strategic Handoff & Growth: Scope the ongoing maintenance plan, create customer documentation/training, and leverage your trusted advisor status to identify the next high-value FDE engagement.

Requirements:

• Executive Presence & Communication: Strong executive presence and excellent communication skills.
• Product Judgment & Delivery: Ability to define what to build and why, write strong product requirements, prioritise engineering work, manage scope, and lead complex agile software projects.
• Technical Fluency & Architecture Judgment: Understanding of modern data and AI architectures, including cloud platforms, data pipelines, data models, distributed systems, APIs, security and governance, machine learning, and generative AI application patterns.
• Hands-on Technical Ability: Proficiency in at least one language such as Python, Java, or SQL.
• Relevant Experience: Typically 7+ years of experience delivering complex, customer-facing data, analytics, AI, or software engagements.

The role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset.

The pay range for this role is $219,765-$302,220 USD.